Mackerel Fat Content Estimation Using RGB and Depth Images

We propose a method for estimating the fat content of mackerels from their images. The market value of fish varies greatly depending on the fat content. For example, mackerels with high-fat content are a high priority for business transactions in Japanese fisheries. The fat content is commonly measu...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.164060-164069
Hauptverfasser:	Sano, Shuya, Miyazaki, Tomo, Sugaya, Yoshihiro, Sekiguchi, Naohiro, Omachi, Shinichiro
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Cameras Color imagery Convolutional neural networks depth image Estimation fat content estimation Fats Feature extraction Fish Fish image analysis Fisheries fishery industry Infrared spectra Mackerel Market value Near infrared radiation neural network RGB image Shape Texture Training
Online-Zugang:	Volltext
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